Record Display for the EPA National Library Catalog

RECORD NUMBER: 32 OF 69

OLS Field Name OLS Field Data
Main Title Ionospheric Prediction and Forecasting [electronic resource] /
Type EBOOK
Author Zolesi, Bruno.
Other Authors
Author Title of a Work
Cander, Ljiljana R.
Publisher Springer Berlin Heidelberg : Imprint: Springer,
Year Published 2014
Call Number QC801-809
ISBN 9783642384301
Subjects Geography. ; Physical geography. ; Astrophysics.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-3-642-38430-1
Collation XII, 240 p. 138 illus., 34 illus. in color. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Ionospheric Structure -- Ionospheric measurements for prediction and forecasting. Ionospheric prediction for radio propagation purposes -- Total electron content modelling and mapping -- Ionospheric forecasting -- Prediction and forecasting user manual. This book describes how to predict and forecast the state of the planet Earth's ionosphere under quiet and disturbed conditions in terms of dynamic processes in the weakly ionized plasma media of the upper atmosphere, using the modern measurement and modelling techniques available. A close relationship is explained between the state of the media and the radio wave propagation features of the media. The prediction and forecasting algorithms, methods, and models are oriented towards providing a practical approach to the design and engineering of ionospherically dependent radio systems. The book also covers those aspects of ionospheric prediction and forecasting relevant to space weather phenomena and their effects on new technologies. A proper understanding of the ionosphere is of fundamental practical importance because it is an essential element in telecommunication and navigation systems, while space weather is expected to be an important factor in space-related research subjects (e.g. astronomy, solar and space physics, planetary and Earth sciences) over the next decade as ever more detailed knowledge, modelling, prediction, and forecasting of the Sun-Earth system are required.